At T-Mobile, the team is searching for a Software Engineer to work with a team of data and software engineers to craft, implement, and deploy software which meet customer's requirements, scales easily, removes the limitations of traditional networking solutions, and supports deployment in highly available environments. The team works with data to enable AI-powered applications including recommendation engines.
Requirements
- Strong SQL skills with proven experience in relational database systems (preferably PostgreSQL).
- Hands-on experience with Azure Databricks (PySpark, SparkSQL, Python) for building and maintaining data pipelines.
- Proficiency with Azure Data Factory for pipeline orchestration and data integration.
- Experience with batch ETL processes at scale, including data cleansing, transformation, and performance optimization.
- Familiarity with Cassandra or other NoSQL databases for handling near real-time data.
- Version control and CI/CD using GitLab (or similar tools).
- Job scheduling and monitoring experience (Control-M or equivalent).
Responsibilities
- Design, build, and maintain data ingestion pipelines that consolidate customer profile data for a real-time AI-driven decisioning application.
- Develop and optimize ETL processes using Azure Databricks and Azure Data Factory to source, transform, and load data from multiple upstream systems and enterprise data lakes.
- Ensure data quality, consistency, and reliability across batch and near real-time data flows.
- Manage deployment and version control of pipelines using GitLab and collaborate on code development via VSCode with GitHub Co-pilot.
- Monitor, troubleshoot, and optimize scheduled jobs in Control-M.
- Support ingestion into Postgres (for decisioning reference tables) and Cassandra (for near real-time attributes).
- Work closely with other engineers, analysts, and application teams to ensure timely delivery of accurate customer data.
Other
- 2-4+ years technical engineering experience (Required)
- Ability to work independently while maintaining clear communication and collaboration with stakeholders.
- Travel Required (Yes/No): Yes
- At least 18 years of age
- Legally authorized to work in the United States
